results from testing a web mode for the consumer

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Results from Testing a Web Mode for the Consumer Expenditure Diary Survey Ian Elkin, Laura Erhard, Brett McBride, and Dawn Nelson Consumer Expenditure Survey Division/U.S. Census Bureau CE Survey Methods Symposium July 15, 2014

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Results from Testing a Web Mode for the Consumer

Expenditure Diary Survey

Ian Elkin, Laura Erhard, Brett McBride, and Dawn Nelson

Consumer Expenditure Survey Division/U.S. Census Bureau

CE Survey Methods SymposiumJuly 15, 2014

Presentation Outline

2

I. Web Diary Overview

II. Results – Sample Performance

III. Results – Expenditure Comparisons

IV. Findings and Recommendations

I. WEB DIARY OVERVIEW

3

Consumer Expenditure Diary Overview

The Consumer Expenditure Diary methodology uses PAPI – one week’s worth of expenditure entries (x2)

Census Field Representatives “place” the diary in-person and have up to two more visits

The CED gathers more detail than the Consumer Expenditure Quarterly Interview

The Diary is divided into four sections: Food Away From Home

Food for Home Consumption

Clothing, Shoes, Jewelry and Accessories

All Other Products, Services and Expenses

4

Web Diary Overview

5

Motivation

To encourage contemporaneous reporting,

improve accuracy through access across locations

and household members, provide a platform for

individual diaries, allow for a multiportal

approach, and to improve response rates by

offering alternative response modes to the

traditional paper diary.

Objective

To understand the operational issues regarding

implementing a web mode for CE and to

understand the data quality and response rates

associated with web collection.

Web Diary Logistics

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Data Collection Period – Jan, Feb, Mar 2013

Separate online WD application

All research cases are “double placed”

FRs provide username and password to

Respondent via CAPI instrument

New outcome codes for Web Diary (final

disposition)

New materials

FR Talking Points (FR)

User Guide (FR)

Test Limitations

English only

No Multi-CU HHs or Replacement HHs

Web Diary Eligible Cases & Production Sample

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Eligible Web Diary Cases

English only

No Multi-CU HHs or Replacement HHs

Home internet access via PC or tablet

Full Production Sample

All CE Diary cases fielded between January and

March 2013

Restricted Production Sample

Excluded non-English language interviews

Excluded Spawned HHs and Replacement HHs

Excluded HHs reporting no internet access or

internet access only through a mobile phone

II. RESULTS – SAMPLE PERFORMANCE & DEMOGRAPHICS

8

Sample Demographics & Characteristics

9

Web Diary Sample

(N = 456)

Restricted Production

(N = 2,261)

Full Production

(N = 3,251)

Average Age50.1 49.6 50.1

Average CU Size2.6 2.5 2.4

Race (percent)

White & Other Race87.1 86.5 85.1

Black6.8 9.2 10.9

Asian6.1 4.2 4.0

Ethnicity

Hispanic12.7% 9.8% 14.6%

Pre-tax Income Difference

Web Diary Sample–Restricted Production = $5,000

Sample Demographics & Characteristics

Web Diary Sample

(N = 456)

Restricted Production

(N = 2,261)

Full Production

(N = 3,251)

Gender

Male48.5% 51.0% 49.6%

Female51.5% 49.0% 50.4%

Education

Elementary0.9% 1.4% 3.6%

High school21.1% 26.7% 33.2%

College78.1% 71.8% 62.8%

Never attended- 0.1% 0.4%

Tenure

Homeowner73.0% 72.3% 64.4%

Renter27.0% 27.7% 35.6%

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Overall Response Rates

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Overall Response RatesWeb Diary Sample Restricted Production Full Production

RO Total

Eligible

Diaries Rate Total

Eligible

Diaries Rate Total

Eligible

Diaries Rate

New York 178 54 30.3% 536 301 56.2% 708 435 61.4%

Philadelphia 239 100 41.8% 722 410 56.8% 1,008 609 60.4%

Chicago 273 86 31.5% 560 373 66.6% 761 550 72.3%

Atlanta 286 80 28.0% 604 423 70.0% 845 598 70.8%

Denver 156 55 35.3% 584 329 56.3% 809 503 62.2%

Los Angeles 294 81 27.6% 710 425 59.9% 910 556 61.1%

Overall 1,426 456 32.0% 3,716 2,261 60.8% 5,041 3,251 64.5%

Response Rates

Web Diary Sample – 32.0%

Restricted Production – 60.8%

Full Production – 64.5%

III. RESULTS – EXPENDITURE COMPARISONS

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Diary Completion

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Analysis excluded non-respondents and removed diaries

that FRs indicated had no entries upon pick-up

Partial Recall – Diaries in which respondent provided

entries are augmented by entries collected through the

receipt/recall process

Diary Completion

Web Diary

CUs

Restricted

Production

CUs

Web Diary

Percent

Restricted

Production Percent

Difference

(Test-RP) Change

Week 1 entries only 38 52 19.0% 5.5% 13.5 245.5%

Week 2 entries only 7 95 3.5% 10.0% -6.5 -65.0%

Entries both weeks 155 801 77.5% 84.5% -7.0 -8.3%

Total 200 948 100.0% 100.0%

Number of Diary Entries

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Total Entries among CUs entering 2 weeks of data without

total recall

Total Entries among CUs entering 2 weeks of data without

total recall, compared against double placed restricted

production CUs

Total EntriesWeb Diary Sample

(n=155)

Restricted Production

(n=801)

Difference

(Test-RP) Change

Mean entries 66.9 75.6 -8.7 -11.5%

Median entries 61.0 69.0 -8.0 -11.6%

Total Entries compared against double-placed RP CUs

Web Diary Sample

(n=155)

Double-Placed Restricted

Production (n=281)

Difference (Test-

RP) Change

Mean entries 66.9 79.4 -12.5 -15.7%

Median entries 61.0 74.0 -13.0 -17.6%

Amount of Expenditures Reported

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Total Expenditures among CUs entering 2 weeks of data

without total recall

Total Expenditures among CUs entering 2 weeks of data

without total recall, compared against double placed

restricted production CUs

Total Expenditure AmountsDifference

(Test-RP) Change

Mean difference -$301.82 -15.1%

Median difference -$228.16 -17.0%

Expenditure Amounts compared

against double-placed RP CUs

Difference

(Test-RP) Change

Mean difference -$138.26 -7.6%

Median difference -$196.17 -15.0%

Number of Entries per Week

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Cases were subset to include CUs not having any entries

from partial recall

Entries by CUs completing both weeks (no recall)Web Diary

Sample (n=126)

Restricted

Production (n=244)

Difference (Test-

RP) Change

Week 1 mean entries 37.8 41.7 -3.9 -9.4%

Week 1 median entries 35.0 37.0 -2.0 -5.4%

Week 2 mean entries 31.7 38.3 -6.6 -17.2%

Week 2 median entries 29.0 32.5 -3.5 -10.8%

Overall mean entries 69.5 80.0 -10.5 -13.1%

Overall median entries 62.0 75.5 -13.5 -17.9%

Within-CU proportion of entries entered in first week by

CUs completing both weeks (no recall)Web Diary

Sample (n=126) Restricted Production (n=244)

Proportion (Week 1) 54.8% 53.1%

Amount of Expenditures per Week

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Cases were subset to include CUs not having any entries

from partial recall

Expenditure Totals for CUs completing both weeks (no

recall)

Difference (Test-RP) Change

Week 1 mean difference -$3.73 -0.4%

Week 1 median difference -$74.85 -12.8%

Week 2 mean difference -$244.32 -25.1%

Week 2 median difference -$93.84 -15.9%

Overall mean difference -$248.05 -13.2%

Overall median difference -$210.31 -15.5%

Within-CU proportion of expenditure amounts entered in first

week of CUs completing both weeks (no recall)Web Diary Sample

(n=126) Restricted Production (n=244)

Proportion (Week 1) 52.4% 52.1%

Association of Respondent Log-in Patterns

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Expenditures

CUs that logged-in within the first three days and completed

both diary weeks had larger median expenditure amounts

($146 higher) than those that did not.

CUs that logged-in within the first three days and completed

both diary weeks had comparable median expenditure totals

to those in the RP subsample.

Entries

CUs completing two weeks of data entry and logging-in

early in the reporting period had a greater average number

of entries (77) compared to those that did not (65).

CUs logging-in within the first three days of the reporting

period had similar average number of entries (77) as those

in the paper diary RP sample (76).

Association of FR Follow-up Contacts

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Expenditures

CUs receiving a FR reminder contact had a slightly higher

median weekly amount of reported expenditures ($50

higher).

Entries

CUs receiving a FR reminder contact had a slightly greater

median number of entries than those that did not (33 and 29

respectively).

Daily Expenditures between Test and RP Diaries

Although, RP CUs have a higher number of entries on average than test CUs, a greater percentage of RP CUs had days with no expenditures

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0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

1 2 3 4 5 6 7 8 9 10 11 12 13 14

Perc

ent

of CU

s w

ith n

o e

ntr

ies

Day of Expenditure

Change in Percent of CUs with No Daily Expenditures (among 2-week diary completers)

Test CUs (n=126) "DP RP" Production CUs (n=244)

IV. FINDINGS & RECOMMENDATIONS

FULL REPORT: HTTP://WWW.BLS.GOV/CEX/CE_STATPAPERS.HTM

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Findings

Higher median expenditures for the following sections:

Clothing, Shoes, Jewelry, and Accessories

Food and Drinks for Home Consumption

Lower item nonresponse, as defined for a diary instrument

Week-to-week drop-off validates shift to one week collection period

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Recommendations

Low Response Rates

Create flexible, but secure, username and password requirements

Restrict default usernames and passwords to specific characters

Print User Guide on non-glossy paper to facilitate username/password transcription

Change the test protocol to allow for FR collection and input of records, particularly receipts with numerous items

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Recommendations

Higher Rate of Total Recall

Allow entry, into the instrument, of in-scope expenditures after the final day of collection

Assess different protocols for allowing the FR access to a summary of the respondent’s web diary entries

Set Date field to default to current day

Run daily analysis on the paradata to determine which respondents have not logged into the instrument as well as keeping a log of how many days have passed since the last successful logon by the respondent and, after a specific time period has lapsed, FRs will be notified to contact the respondent to remind them to enter any expenditures

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Recommendations

Low Placement Rates

Create classroom training for any feasibility test that features enormous departures from past protocols

Implement the most recent security protocols, displaying security assurances in a prominent place within the instrument, and educate FRs on the most relevant data security concerns

Higher Ineligible Rates

Include multiple survey modes in order to determine which modal offering is optimal and the most effective

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Recommendations

Other

Paradata should be formatted in a manner that is easily analyzed and readable

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Acronym Definitions

WD – Web Diary

FR – Field Representative

R – Respondent

CU – Consumer Unit

HH - Household

CAPI – Computer-assisted Personal Interviewing

PAPI – Paper-and-Pencil Interviewing

CED – Consumer Expenditure Diary

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Contact Information

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Ian J. Elkin

[email protected]